Vector API Quick Reference

The tables below list the functions of the vector API. The “EW” column indicates whether the operation acts element-wise.

The “Signature” column is intended as a hint which quickly conveys the kind of the conceptual inputs to and outputs from the operation. The signatures are only intended to convey how many (conceptual) inputs and outputs there are, and their dimensionality.

The functions themselves will typically take more arguments than these signatures indicate. For example, most functions take vector lengths as input, and many take shift values which are used to control growth of element bit-depth. Check the function’s full documentation to get more detailed information.

The following symbols are used in the signatures:

Symbol	Description
\(\mathbb{S}\)	A scalar input or output value.
\(\mathbb{V}\)	A vector-valued input or output.
\(\mathbb{M}\)	A matrix-valued input or output.
\(\varnothing\)	Placeholder indicating no input or output.

For example, the operation signature \((\mathbb{V \times V \times S}) \to \mathbb{V}\) indicates the operation takes two vector inputs and a scalar input, and the output is a vector.

• 32-Bit Vector Ops

• 16-Bit Vector Ops

• 8-Bit Vector Ops

• Complex 32-Bit Vector Ops

• Complex 16-Bit Vector Ops

• Fixed-Point Vector Ops

• Floating-Point Vector Ops

• Other Vector Ops

• Vector Type Conversions

32-bit Vector Ops
Function	EW	Signature
vect_s32_copy()		\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s32_abs()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s32_abs_sum()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s32_add()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s32_add_scalar()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_s32_argmax()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s32_argmin()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s32_clip()	x	\((\mathbb{V \times S \times S})\) \(\to \mathbb{V}\)
vect_s32_dot()		\((\mathbb{V \times V})\) \(\to \mathbb{S}\)
vect_s32_energy()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s32_headroom()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s32_inverse()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s32_max()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s32_max_elementwise()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s32_min()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s32_min_elementwise()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s32_mul()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s32_macc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_s32_nmacc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_s32_rect()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s32_scale()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_s32_set()	x	\(\mathbb{S}\) \(\to \mathbb{V}\)
vect_s32_shl()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_s32_shr()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_s32_sqrt()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s32_sub()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s32_sum()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s32_zip()		\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s32_unzip()		\(\mathbb{V}\) \(\to (\mathbb{V \times V})\)
vect_s32_convolve_valid()		\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s32_convolve_same()		\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s32_log_base()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_s32_log()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s32_log2()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s32_log10()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
chunk_s32_dot()		\((\mathbb{V \times V})\) \(\to \mathbb{S}\)
chunk_s32_log()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)

16-bit Vector Ops
Function	EW	Signature
vect_s16_abs()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s16_abs_sum()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s16_add()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s16_add_scalar()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_s16_argmax()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s16_argmin()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s16_clip()	x	\((\mathbb{V \times S \times S})\) \(\to \mathbb{V}\)
vect_s16_dot()		\((\mathbb{V \times V})\) \(\to \mathbb{S}\)
vect_s16_energy()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s16_headroom()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s16_inverse()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s16_max()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s16_max_elementwise()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s16_min()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s16_min_elementwise()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s16_mul()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s16_macc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_s16_nmacc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_s16_rect()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s16_scale()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_s16_set()	x	\(\mathbb{S}\) \(\to \mathbb{V}\)
vect_s16_shl()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_s16_shr()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_s16_sqrt()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s16_sub()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_s16_sum()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_s16_extract_high_byte()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s16_extract_low_byte()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)

8-bit Vector Ops
Function	EW	Signature	Brief
vect_s8_is_negative()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)	Identify negative elements

32-bit Complex Vector Ops
Function	EW	Signature
vect_complex_s32_add()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_complex_s32_add_scalar()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_complex_s32_conj_macc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_complex_s32_conj_mul()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_complex_s32_conj_nmacc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_complex_s32_conjugate()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_complex_s32_headroom()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_complex_s32_macc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_complex_s32_mag()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_complex_s32_mul()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_complex_s32_nmacc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_complex_s32_real_mul()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_complex_s32_real_scale()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_complex_s32_scale()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_complex_s32_set()	x	\(\mathbb{S}\) \(\to \mathbb{V}\)
vect_complex_s32_shl()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_complex_s32_shr()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_complex_s32_squared_mag()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_complex_s32_sub()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_complex_s32_sum()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_complex_s32_tail_reverse()		\(\mathbb{V}\) \(\to \mathbb{V}\)

16-bit Complex Vector Ops
Function	EW	Signature
vect_complex_s16_add()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_complex_s16_add_scalar()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_complex_s16_conj_mul()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_complex_s16_conj_macc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_complex_s16_conj_nmacc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_complex_s16_headroom()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_complex_s16_macc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_complex_s16_mag()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_complex_s16_mul()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_complex_s16_nmacc()	x	\((\mathbb{V \times V \times V})\) \(\to \mathbb{V}\)
vect_complex_s16_real_mul()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_complex_s16_real_scale()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_complex_s16_scale()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_complex_s16_set()	x	\(\mathbb{S}\) \(\to \mathbb{V}\)
vect_complex_s16_shl()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_complex_s16_shr()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_complex_s16_squared_mag()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_complex_s16_sub()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_complex_s16_sum()		\(\mathbb{V}\) \(\to \mathbb{S}\)

Fixed-Point Vector Ops
Function	EW	Signature
vect_q30_power_series()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
vect_q30_exp_small()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
chunk_q30_power_series()	x	\((\mathbb{V \times V})\) \(\to \mathbb{V}\)
chunk_q30_exp_small()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)

Floating-Point Vector Ops
Function	EW	Signature
vect_f32_max_exponent()		\(\mathbb{V}\) \(\to \mathbb{S}\)
vect_f32_dot()		\((\mathbb{V \times V})\) \(\to \mathbb{S}\)
vect_f32_add()	x	\(\mathbb{V \times V}\) \(\to \mathbb{V}\)
vect_float_s32_log_base()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_float_s32_log()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_float_s32_log2()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_float_s32_log10()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
chunk_float_s32_log()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_complex_f32_add()	x	\(\mathbb{V \times V}\) \(\to \mathbb{V}\)
vect_complex_f32_mul()	x	\(\mathbb{V \times V}\) \(\to \mathbb{V}\)
vect_complex_f32_conj_mul()	x	\(\mathbb{V \times V}\) \(\to \mathbb{V}\)
vect_complex_f32_macc()	x	\(\mathbb{V \times V \times V}\) \(\to \mathbb{V}\)
vect_complex_f32_conj_macc()	x	\(\mathbb{V \times V \times V}\) \(\to \mathbb{V}\)

Note that several of the functions below take vectors of the split_acc_s32_t type. This is a 32-bit vector type used for accumulating results of 8- or 16-bit operations in a manner optimized for the XS3 VPU.

Other Vector Ops
Function	EW	Signature
vect_split_acc_s32_shr()	x	\((\mathbb{V \times S})\) \(\to \mathbb{V}\)
vect_s32_merge_accs()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
vect_s32_split_accs()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
chunk_s16_accumulate()	x	\(\mathbb{V}\) \(\to \mathbb{V}\)
mat_mul_s8_x_s8_yield_s32()		\((\mathbb{M \times V})\) \(\to \mathbb{V}\)
mat_mul_s8_x_s16_yield_s32()		\((\mathbb{M \times V})\) \(\to \mathbb{V}\)

Vector Type Conversion Ops
Function	Array Element Type
	Input	Output
vect_s16_to_vect_s32()	int16_t	int32_t
vect_s32_to_vect_s16()	int32_t	int16_t
vect_s32_to_vect_f32()	int32_t	float
vect_f32_to_vect_s32()	float	int32_t
vect_complex_s16_to_vect_complex_s32()	complex_s16_t	complex_s32_t
vect_complex_s32_to_vect_complex_s16()	complex_s32_t	complex_s16_t